In [1]}, the reverse perspective network is applied for object counting to solve the problem of input image scale variation. The perspective estimator can calculate the perspective parameter and the coordinate transformer can convert the images to similar size. The weight of ground truth is promoted for training by using an adversarial network. The proposed method can obtain the satisfactory result for the dataset with large variation of scale. The frame work of proposed method is shown in Fig. REF .
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